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Tier-1 employer and metro location increase competition, but seniority and niche ML+MLOps needs moderate applicant density.
Role requires deep ML/AI, MLOps, and manufacturing domain knowledge, making background fit highly sensitive.
Explicit 12+ years, Principal seniority, and many mandatory technical skills enforce high shortlisting strictness.
Design, develop, deploy, and support end-to-end AI-powered applications improving manufacturing operations across global fabs and assembly/test sites.
Build scalable AI solutions including data pipelines, feature engineering, model training/inference, APIs, web apps, and observability.
Integrate advanced AI capabilities such as GenAI, LLMs, robotics, and manufacturing execution system (MES) ecosystems to enhance autonomous operations and data-driven decisions.
Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field (or equivalent experience).
12+ years experience building and shipping production web or AI applications end to end.
Strong programming skills in Python and modern Angular/TypeScript; experience with Docker, Kubernetes/OpenShift, CI/CD.
Hands-on experience with at least one major cloud platform (AWS, Azure, GCP); working knowledge of GenAI technologies and Responsible AI practices.
Extensive experience in production-level AI and web application development combining backend and frontend technologies with containerized deployments.
Knowledge of semiconductor manufacturing or industrial automation environments and integration with MES or IoT systems preferred.
Demonstrated ability to architect scalable AI solutions incorporating advanced ML frameworks, GenAI, and operationalized MLOps in complex manufacturing settings.